The simplest way to run Apache Spark. Focus on your Data while we handle the Mechanics
Jobs at Data Mechanics
*** To apply (or ask us a question) emails us at firstname.lastname@example.org *** Data Mechanics is a YCombinator startup based in Paris, founded by Databricks and BlaBlaCar engineers passionate about data science and cloud infrastructure. Our mission is to build the big data platform of tomorrow, a SaaS that lets data scientists and data engineers easily build, deploy and maintain data applications at scale. Let them focus on their data and their business logic, while our platform handles all the infrastructure work. Data Mechanics is a serverless platform for Apache Spark (the #1 big data technology). The platform tunes the infrastructure configurations automatically for each pipeline running on it, to optimize their performance and stability. It is deployed on a Kubernetes cluster in our customers cloud account. Our startup is funded by top investors and business angels (including the founders of Dataiku, Docker, and Mesosphere) and manages production workloads from American and European customers running in the three main public clouds (AWS, GCP, and Azure). We're looking for smart, humble and passionate individuals. Together we'll have fun solving the hardest challenges. We expect you to become full owners of the product and company we're building together. We offer competitive salary and equity packages to reflect our ambition. See our tech talks at Spark Summit: databricks.com/session_na20/running-apache-spark-on-kubernetes-best-practices… databricks.com/session_eu19/how-to-automate-performance-tuning-for-apache-spark
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